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Experimental analysis of ON/OFF and variable speed drive controlled industrial chiller towards energy efficient operation

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  • Olszewski, Pawel

Abstract

This study demonstrates thermodynamic and energy effects of a Variable Speed Drive (VSD), powering compressor in a partially loaded chiller system. The proposed work fits the gap in the existing literature, which mostly addresses VSD applications in chiller’s auxiliary pumps and fans. The goals of this work are defined by four Research Problems (RP’s): RP1. comparison of thermodynamic extensive parameters, for ON/OFF and VSD controlled systems, RP2. load ranges in which VSD control systems are energy efficient, RP 3. potential energy savings in VSD controlled compressor, and RP 4. mathematical model formulation, useful in energy audit conditions, estimating potential benefits of VSD implementation, based on measurement data from existing ON-OFF controlled chiller. To address these aspects, a set of measurements have been performed on a fully equipped experimental chiller system (UW Oshkosh Teaching and Energy Research Industrial Lab). All data have been collected for a wide spectrum of loads in both control configurations. Data analysis showed significant differences in a chiller operation. VSD operated chiller eliminates fluctuations in all measured thermodynamic parameters (RP1.). The accomplished work demonstrated that the most energy efficient effects can be achieved for a partially loaded, VSD-controlled chiller, working at ∼55–75% of its nominal capacity (RP 2.). The implementation of a Variable Speed Drive for such load levels allows for achieving up to 25% of energy savings (RP 3.) Finally, proposed mathematical model have been experimentally verified as useful in the range of 50–100% of nominal load (RP 4.).

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  • Olszewski, Pawel, 2022. "Experimental analysis of ON/OFF and variable speed drive controlled industrial chiller towards energy efficient operation," Applied Energy, Elsevier, vol. 309(C).
    • Handle: RePEc:eee:appene:v:309:y:2022:i:c:s0306261921016652
    DOI: 10.1016/j.apenergy.2021.118440
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    References listed on IDEAS

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    1. Huang, Sen & Zuo, Wangda & Sohn, Michael D., 2016. "Amelioration of the cooling load based chiller sequencing control," Applied Energy, Elsevier, vol. 168(C), pages 204-215.
    2. Tirmizi, Syed A. & Gandhidasan, P. & Zubair, Syed M., 2012. "Performance analysis of a chilled water system with various pumping schemes," Applied Energy, Elsevier, vol. 100(C), pages 238-248.
    3. Trautman, Neal & Razban, Ali & Chen, Jie, 2021. "Overall chilled water system energy consumption modeling and optimization," Applied Energy, Elsevier, vol. 299(C).
    4. Chang, Chun-Cheng & Shieh, Shyan-Shu & Jang, Shi-Shang & Wu, Chan-Wei & Tsou, Ying, 2015. "Energy conservation improvement and ON–OFF switch times reduction for an existing VFD-fan-based cooling tower," Applied Energy, Elsevier, vol. 154(C), pages 491-499.
    5. Cho, Jinkyun & Kim, Yundeok, 2016. "Improving energy efficiency of dedicated cooling system and its contribution towards meeting an energy-optimized data center," Applied Energy, Elsevier, vol. 165(C), pages 967-982.
    6. Ahn, Hyeunguk & Rim, Donghyun & Freihaut, James D., 2018. "Performance assessment of hybrid chiller systems for combined cooling, heating and power production," Applied Energy, Elsevier, vol. 225(C), pages 501-512.
    7. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    8. Fathollahzadeh, Mohammad Hassan & Tabares-Velasco, Paulo Cesar, 2021. "Electric demand minimization of existing district chiller plants with rigid or flexible thermal demand," Applied Energy, Elsevier, vol. 289(C).
    9. Chen, Qun & Wang, Yi-Fei & Xu, Yun-Chao, 2015. "A thermal resistance-based method for the optimal design of central variable water/air volume chiller systems," Applied Energy, Elsevier, vol. 139(C), pages 119-130.
    10. Kusiak, Andrew & Li, Mingyang, 2010. "Cooling output optimization of an air handling unit," Applied Energy, Elsevier, vol. 87(3), pages 901-909, March.
    11. Deng, Jiewen & Wei, Qingpeng & Qian, Yangyang & Zhang, Hui, 2018. "Does magnetic bearing variable-speed centrifugal chiller perform truly energy efficient in buildings: Field-test and simulation results," Applied Energy, Elsevier, vol. 229(C), pages 998-1009.
    12. Lee, Tzong-Shing & Liao, Ke-Yang & Lu, Wan-Chen, 2012. "Evaluation of the suitability of empirically-based models for predicting energy performance of centrifugal water chillers with variable chilled water flow," Applied Energy, Elsevier, vol. 93(C), pages 583-595.
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    Cited by:

    1. Fu-Wing Yu & Wai-Tung Ho, 2023. "Time Series Forecast of Cooling Demand for Sustainable Chiller System in an Office Building in a Subtropical Climate," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    2. Gado, Mohamed G. & Hassan, Hamdy, 2023. "Energy-saving potential of compression heat pump using thermal energy storage of phase change materials for cooling and heating applications," Energy, Elsevier, vol. 263(PE).

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